Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models. - Bruno Morabito; Reinhardt Klein; Rolf Findeisen (ACC, 2017)

Admissible Control Parametrization of Uncertain Finite-time Processes With Application to Li-ion Battery Management. - Petar Andonov; Bruno Morabito; Anton Savchenko; Rolf Findeisen (ECC, 2018)

Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. - Bruno Morabito; Hoang Hai Nguyen; Janine Matschek; Rolf Findeisen (ACC, 2022)

Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC. - Johannes Pohlodek; Bruno Morabito; Christian Schlauch; Pablo Zometa; Rolf Findeisen (CoRR, 2022)

Stochastic Model Predictive Control Utilizing Bayesian Neural Networks. - Johannes Pohlodek; Hendrik Alsmeier; Bruno Morabito; Christian Schlauch; Anton Savchenko; Rolf Findeisen (ACC, 2023)

Machine Learning for Process Control of (Bio)Chemical Processes. - Andreas Himmel; Janine Matschek; Rudolph Kok; Bruno Morabito; Hoang Hai Nguyen; Rolf Findeisen (CoRR, 2023)

Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics. - Sebastián Espinel-Ríos; Bruno Morabito; Johannes Pohlodek; Katja Bettenbrock; Steffen Klamt; Rolf Findeisen (CoRR, 2023)

Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models. - Sebastián Espinel-Ríos; Gerrich Behrendt; Jasmin Bauer; Bruno Morabito; Johannes Pohlodek; Andrea Schütze; Rolf Findeisen; Katja Bettenbrock; Steffen Klamt (CoRR, 2024)